Quality Automation Engineer- Silicon Engineering
- cambridge, england, United Kingdom
- Job type not listed
- £50 - £70 Per Hour
Job Description
Quality Automation Engineer- Silicon Engineering
Join Apple's Silicon Engineering Group and help build the foundational software that empowers our engineers to design the world's most advanced silicon. We are looking for a Quality Automation Engineer to drive the quality and reliability of the critical tools at the heart of Apple's chip design process. In this role, you will be instrumental in ensuring the robustness of the software ecosystem that enables the creation of future Apple products .
Description
Partner with development teams to review feature specifications and define comprehensive validation strategies .Design and execute detailed test plans with a focus on scalable automation across functional, performance, and security testing.Architect, implement, and maintain robust automation frameworks and test suites within a sophisticated CI/CD environment.Collaborate with engineering and operations to investigate, triage, and diagnose the root cause of complex defects.Drive the bug lifecycle from discovery to resolution, providing clear issue reports and proactively communicating program risks.Develop and track key quality metrics to provide clear visibility into product health and release readiness.Champion continuous improvement in our engineering processes and methodologies.
Minimum Qualifications
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a cross-functional team environment.
- Proficiency in modern programming languages, with strong experience in the Scala or Java ecosystems.
- Deep understanding of web services, REST APIs, and client-server architecture.
- Hands-on experience architecting and maintaining test automation within a CI/CD pipeline using tools like Jenkins, TeamCity, or similar.
- Expertise with version control systems (Git, Perforce) and collaborative development workflows.
- Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles.
Preferred Qualifications
- Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis.
- Practical experience with test frameworks like ScalaTest or Playwright.
- Familiarity with containerization and orchestration technologies such as Kubernetes.
- Experience with build automation tools like Gradle or Maven.
- Familiarity with XML toolchains and related technologies (XSLT, XPath, XSD, Schematron).